\HeaderA{diabetes}{diabetes}{diabetes}
\begin{Description}\relax
Patient classification data set.
\end{Description}
\begin{Usage}
\begin{verbatim}data(diabetes)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 768 observations on the following 9 variables.
\describe{
\item[\code{pragnet}] a numeric vector
\item[\code{glucose\_conc}] a numeric vector
\item[\code{blood\_press}] a numeric vector
\item[\code{skin\_thickness}] a numeric vector
\item[\code{serum\_insulin}] a numeric vector
\item[\code{BMI}] a numeric vector
\item[\code{pedigree\_fun}] a numeric vector
\item[\code{age}] a numeric vector
\item[\code{class}] a classification character vector of 2 values: 1 for diabetic and 0 for not
}
\end{Format}
\begin{Details}\relax
The classification is based on 8 patient parameters e.g. age, BMI, fat thickness, pregnancy and more.
\end{Details}
\begin{Source}\relax
http://archive.ics.uci.edu/ml
\end{Source}

